DATA505 Final Presentation

Nicole Rodgers & Jon Garrow

Predicting Part Profits

We used a linear regression model to predict which of CravenSpeed’s parts will be most profitable over time.

Importance Chart

We used a random forests technique to show which features are most important to this model.

Number of Components

Percent Ordered for Stock

Percent Drop Shipments

Product Type

Main Component Finish Process

Main Component Material

Main Component Mfg Process

Listing Type

Year Range

Products Likely to Be Profitable

  • Made of metal, manufactured with a form or lathe, powder finish

  • Fits < 10 model years

  • < 10 components and no product variants

  • Low drop ship rate compared to retail